Implementation of Fuzzy Logic Method on Plantation Monitoring System in Website-Based Smart Farming

Clara Oktariani, Ali Nurdin, Ade Silvia Handayani

Abstract


The plantation sector is a crucial component of agriculture. However, plantation management faces several challenges, including limited technological integration within agriculture. The adoption of technology in plantations, particularly IoT (Internet of Things)-based monitoring systems, has become a significant trend in recent years. This system is designed to improve the efficiency of Smart Farming, allowing for more optimized management. This study implements the Fuzzy Logic method in a corn plantation monitoring system to address uncertainties and complexities in decision-making. The system integrates hardware and software, enabling real-time monitoring of environmental conditions through a web-based interface. Testing results indicate that the developed system achieves an accuracy level of 97.42%, providing valuable and responsive data to support farmers in decision-making. With this system, farmers can more effectively monitor and manage plantation conditions, potentially increasing productivity and agricultural yield quality.

Keywords


Fuzzy Logic; Internet of Things; Monitoring System; Realtime; Smart Farming

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References


D. N. Aini, B. Oktavianti, M. J. Husain, D. A. Sabillah, S. T. Rizaldi, and M. Mustakim, “Seleksi Fitur untuk Prediksi Hasil Produksi Agrikultur pada Algoritma K-Nearest Neighbor (KNN),” J. Sist. Komput. dan Inform., vol. 4, no. 1, p. 140, 2022, doi: 10.30865/json.v4i1.4813.

N. Thereza, I. P. A. Saputra, and Z. Husin, “Rancang Bangun Geographic Information System (GIS) Sebagai Pengembangan Sistem Monitoring Area Perkebunan Berbasis IoT,” J. Tekno Kompak, vol. 15, no. 1, p. 40, 2021, doi: 10.33365/jtk.v15i1.908.

A. K. Sari, “Analisis Kebutuhan Air Irigasi Untuk Lahan Persawahan Dusun To’Pongo Desa Awo Gading Kecamatan Lamasi,” PENA Tek. J. Ilm. Ilmu-Ilmu Tek., vol. 4, no. 1, p. 47, 2019, doi: 10.51557/pt_jiit.v4i1.214.

M. Juwanda and I. Zikri, “FARMING KENTANG DI KABUPATEN BENER MERIAH ( Perception Of Farmers And Extenders On Potato Smart Farming Technology In Bener Meriah District ),” vol. 7, no. November, pp. 405–414, 2022.

J. Beyerer, G. Bretthauer, and T. Längle, “Smart agriculture,” At-Automatisierungstechnik, vol. 69, no. 4, pp. 275–277, 2021, doi: 10.1515/auto-2021-2049.

N. Rathour, S. Singh, Avinash, S. Ralhan, and R. Purakayastha, “IoT Based Smart Agricultural Monitoring System,” Proc. 2nd Int. Conf. Edge Comput. Appl. ICECAA 2023, pp. 1294–1301, 2023, doi: 10.1109/ICECAA58104.2023.10212196.

Y. C. Cahyaningrum, “Penerapan Artificial Intelligence Menggunakan Fuzzy Logic dalam Dunia Pendidikan,” J. Amplif. J. Ilm. Bid. Tek. Elektro Dan Komput., vol. 13, no. 2, pp. 62–68, 2023, doi: 10.33369/jamplifier.v13i2.30757.

F. Umam, A. Dafid, and A. D. Cahyani, “Implementation of Fuzzy Logic Control Method on Chilli Cultivation Technology Based Smart Drip Irrigation System,” J. Ilm. Tek. Elektro Komput. dan Inform., vol. 9, no. 1, pp. 132–141, 2023, doi: 10.26555/jiteki.v9i1.25813.

E. Prihatini, Y. Irdayanti, and M. Rafly, “Application of Fuzzy Logic Controller for Measurement of Body Temperature and Heart Rate,” J. Teknol. Inf. dan Pendidik., vol. 17, no. 1, pp. 1–16, 2023, doi: 10.24036/jtip.v17i1.733.

S. Samsugi, “Penerapan Penjadwalan Pakan Ikan Hias Molly Menggunakan Mikrokontroler Arduino Uno Dan Sensor Rtc Ds3231,” J. Teknol. dan Sist. Tertanam, vol. 4, no. 1, 2023, doi: 10.33365/jtst.v4i1.2209.

R. Ramadhan and J. C. Chandra, “Rancang Bangun Sistem Pemantauan Kualitas Udara Berbasis Iot Dengan Nodemcu,” Semin. Nas. Mhs. Fak. Teknol. Inf. Jakarta-Indonesia, vol. 1, no. 1, p. 1184, 2022.

S. Sunanto, R. Firdaus, and Makmur Setiawan Siregar, “Implementasi Logika Fuzzy Mamdani Pada Kendali Suhu dan Kelembaban Ruang Server,” J. CoSciTech (Computer Sci. Inf. Technol., vol. 2, no. 2, pp. 128–136, 2021, doi: 10.37859/coscitech.v2i2.3362.

S. D. Riskiono, R. H. S. Pamungkas, and Y. Arya, “Rancang Bangun Sistem Penyiraman Tanaman Sayur Berbasis Arduino Dengan Sensor Kelembaban Tanah,” J. Ilm. Mhs. Kendali dan List., vol. 1, no. 1, pp. 23–32, 2020, doi: 10.33365/jimel.v1i1.186.

A. Sandryadi, Yulkifli, Yohandri, and H. Tarigan, “Development of Solar Radiation Intensity Measurement Tool Using BH1750 Sensor Based on The Internet Of Things with Smartphone Display,” Pilar Phys., vol. 15, no. 2, pp. 149–157, 2022, [Online]. Available: http://dx.doi.org/

A. Nurdiyanto, “Monitoring Data Curah Hujan Berbasis Internet of Things (IoT),” Semin. Nas. Din. Inform. 2020 Univ. PGRI Yogyakarta, pp. 46–50, 2020.

Sohibun, I. Daruwati, R. G. Hatika, and D. Mardiansyah, “MQ-2 gas sensor using micro controller arduino uno for LPG leakage with short message service as a media information,” J. Phys. Conf. Ser., vol. 2049, no. 1, 2021, doi: 10.1088/1742-6596/2049/1/012068.

D. A. Pratama, F. Damsi, and M. S. Zarkasih, “Simulation of Maximum Power Point Tracking with Fuzzy Logic Control Method on Solar Panels Using MATLAB,” J. Teknol. Inf. dan Pendidik., vol. 17, no. 1, pp. 138–148, 2024, doi: 10.24036/jtip.v17i1.731.

I. Ahmad, “Implementasi Metode Fuzzy Sugeno Untuk Mensimulasi Perilaku NPC,” 2019.

U. Athiyah, A. P. Handayani, M. Y. Aldean, N. P. Putra, and R. Ramadhani, “Sistem Inferensi Fuzzy: Pengertian, Penerapan, dan Manfaatnya,” J. Dinda Data Sci. Inf. Technol. Data Anal., vol. 1, no. 2, pp. 73–76, 2021, doi: 10.20895/dinda.v1i2.201.

A. Rahman Hakim, “Penerapan Logika Fuzzy Untuk Menentukan Harga Jual Tas Fashion Menggunakan Metode Sugeno,” J. Desain Dan Anal. Teknol., vol. 2, no. 1, pp. 84–91, 2023, doi: 10.58520/jddat.v2i1.24.




DOI: http://dx.doi.org/10.24014/ijaidm.v8i1.31823

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